To cultivate versatile professionals who can effectively tackle present and future challenges in the ever-evolving field of information technology.

1. To promote inclusivity and empower individuals through equitable access to technology, bridging digital divides, and cultivating diversity within the IT workforce.
2. To equip individuals with the essential skills, knowledge, and entrepreneurial mindset required for success in both conventional employment and entrepreneurial pursuits within the IT industry.
3. To foster the creation of IT solutions that tackle pressing societal issues, advance sustainability goals, and drive meaningful social impact.

Graduates of Artificial Intelligence and Data Science shall:

• PEO1: Have strong analytical and problem-solving skills, enabling them to identify, analyze, and solve complex technical challenges using IT tools and methodologies.
• PEO2: Excel in identifying opportunities, leveraging technology creatively, contributing to startups, and advancing in IT careers.
• PEO3: Collaborate effectively in multidisciplinary teams, demonstrating leadership and interpersonal skills to achieve common goals in IT project.

At the end of the course, the graduates will be able to

• PSO1: Adopt and apply emerging technologies, such as artificial intelligence (AI), machine learning (ML) and Internet of Things (IoT) to solve complex problems in IT.
• PSO2: Apply software development principles, practices, and technologies to design, create, and implement software solutions for IT, entrepreneurial ventures, and enhanced employability.

• PO1: Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex engineering problems.
• PO2: Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• PO3: Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
• PO4: Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including the design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• PO5: Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities, with an understanding of the limitations.
• PO6: The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice.
• PO7: Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of, and need for sustainable development.
• PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• PO11: Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• PO12: Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.